Чётко описанная роль уровня Staff предлагает зарплату выше рыночной и реальное влияние на стратегию качества и тестирование AI. При этом направление придётся задавать для нескольких команд без отдельной QE-команды.
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Много самостоятельностиВыше рынкаСовременный стекРабота с AIПонятная роль
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff QE (AI): Defining testing strategy and building scalable automation for Expert Research workflows, including expert sourcing, call scheduling, compliance, transcript review, and customer portals, with an accent on quality by design, AI-powered features, and release confidence. Focus on designing multi-layer test systems, evaluating AI-led interviews and call synthesis, and influencing engineering teams without direct authority.
Location: Remote - United States
Base compensation: $148,350–$203,550 USD per year, plus potential performance-based bonus, equity, and benefits.
Company
AlphaSense provides an AI-powered market intelligence and workflow orchestration platform with access to more than 500 million business documents and enterprise-grade security.
What you will do
Define the long-term testing strategy for Expert Research using Quality by Design and Automation by Default principles.
Close test coverage gaps across call scheduling, expert sourcing, compliance, transcript review, and client and expert portals.
Build scalable end-to-end automation and determine the appropriate unit, component, API, and end-to-end test layers.
Partner with developers on test planning and ensure automation is ready alongside new code.
Set quality metrics and release gates, test AI-powered interviews and call synthesis, and define methods for validating AI output.
Use AI tools to accelerate test design, maintenance, and triage, while coaching engineers on shift-left and quality-by-design practices.
Requirements
Hands-on end-to-end automation experience with Cypress or Playwright, with willingness to learn the other.
Strong programming skills in at least one of Ruby, TypeScript/JavaScript, Python, Kotlin, or Java, plus comfort working in unfamiliar codebases.
Excellent test design skills, including API testing and a deep understanding of testing theory.
Experience with unit and component testing frameworks such as RSpec or Vitest, and a clear understanding of how test layers fit together.
A track record of using AI tools to accelerate software delivery and testing.
Strong understanding of continuous delivery and release gating.
Experience setting up CI/CD pipelines and working with test management systems such as Allure TestOps, performance tools, and observability tools.
Ability to set direction independently without a dedicated QE team or manager, coach engineering teams on quality, and influence across multiple teams.
Strong communication skills with technical and non-technical stakeholders.
Nice to have
Experience testing complex, workflow-heavy web applications such as scheduling platforms, marketplaces, or admin tools.
Experience with compliance-sensitive products or sensitive data, including transcripts or restricted content.
Experience evaluating AI or LLM output.
Familiarity with Ruby on Rails or Vue.
BS or MS in a relevant technical field.
Culture & Benefits
Performance-based bonus may be offered in addition to base compensation.
Equity and a benefits program are available.
Equal-opportunity workplace committed to respect, inclusion, and reasonable accommodation.
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